Mei‐Chen Lin

2.0k citations
70 papers · 1.2k · h-index 15

Impact in

Papers in

    • Financial Markets and Investment Strategies 26
    • Corporate Finance and Governance 13
    • Auditing, Earnings Management, Governance 11

Mei‐Chen Lin

60 papers receiving 1.2k citations

Peers

Mei‐Chen Lin
Comparison fields: 5 of 102
  • Neuropsychology and Physiological Psychology 61
  • Communication 237
  • General Energy 14
  • Sociology and Political Science 550
  • Finance 124
Replace Steffanie L. Wilk with:
Steffanie L. Wilk United States
Terri L. Rittenburg United States
Sherry J. Holladay United States
Jodi S. Goodman United States
Torsten Biemann Germany
Karen J. Jansen United States
Betsy D. Gelb United States
Stijn Baert Belgium
Yuliya Komarova Loureiro United States
Theodore E. Zorn New Zealand
Mei‐Chen Lin relative to Steffanie L. Wilk United States Steffanie L. Wilk's profile →
Citations per field
00.5×7.8×
Steffanie L. Wilk · 1×
Citations per year

Countries citing papers authored by Mei‐Chen Lin

Since Specialization
Citations

This map shows the geographic impact of Mei‐Chen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mei‐Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chen Lin more than expected).

Fields of papers citing papers by Mei‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mei‐Chen Lin. The network helps show where Mei‐Chen Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Mei‐Chen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei‐Chen Lin Line = papers co-authored together Mei‐Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004318
2 2005258
3 200085
4 200780
5 200037
6 201336
7 201830
8 201625
9 201424
10 201322
11 202322
12 201921
13 202021
14 200815
15 202015
16 200314
17
The Pitfall of Using Sharpe Ratio
200314
18 201814
19 200912
20 201211

About Mei‐Chen Lin

Mei‐Chen Lin is a scholar working on Finance, Accounting, Economics and Econometrics, Sociology and Political Science and Social Psychology, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (26 papers), Corporate Finance and Governance (13 papers), Auditing, Earnings Management, Governance (11 papers), Social Media and Politics (5 papers), Market Dynamics and Volatility (5 papers), Aging and Gerontology Research (5 papers), Stock Market Forecasting Methods (4 papers) and Decision-Making and Behavioral Economics (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (61 citations), Communication (237 citations), General Energy (14 citations), Sociology and Political Science (550 citations) and Finance (124 citations). Mei‐Chen Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yan Bing Zhang, Nancy K. Baym, Akihiko Nonaka, Khisu Beom, Jake Harwood, Mei-Mei Chang, Tai‐Hsi Wu, Adrianne Kunkel, Andrew M. Ledbetter and Howard Giles. Their work appears in journals such as International Review of Financial Analysis, Asia Pacific Management Review, New Media & Society, Mass Communication & Society and Pacific-Basin Finance Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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